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SEPM: rapid seism emergency information processing based on social media

Author

Listed:
  • Xuesong Bai

    (China Agricultural University)

  • Xiaoxue Liu

    (China Agricultural University)

  • Shuhan Lu

    (University of Michigan)

  • Xiaodong Zhang

    (China Agricultural University)

  • Wei Su

    (China Agricultural University)

  • Xiaohui Su

    (Beijing Forestry University)

  • Lin Li

    (China Agricultural University)

Abstract

With the development of network communication technology and the popularity of social media tools, earthquake-related information has been easily published and disseminated in social networks. This study focuses on obtaining this information and providing guidance for earthquake emergency work. A processing model is proposed to obtain earthquake information from social networks. First, a configuration-driven data acquisition module is designed to acquire earthquake information. Second, according to the characteristics of earthquake information in social media, a seismic emergency thesaurus is selected, and weight is calculated. To solve the low accuracy of inter-class classification, an improved mutual term frequency–inverse document frequency (MTF–IDF) algorithm is proposed. Finally, the thesaurus database is used to classify the acquired earthquake information. By taking the Lushan and Jiuzhaigou earthquakes as examples, the improved MTF–IDF algorithm shows a better effect on the selection of seismic keywords than the traditional TF–IDF algorithm; the F1-measure in classification has increased from 79.86 to 86.93%. The proposed model can rapidly and easily acquire and classify earthquake information according to different sources, which can provide timely information and support for disaster relief.

Suggested Citation

  • Xuesong Bai & Xiaoxue Liu & Shuhan Lu & Xiaodong Zhang & Wei Su & Xiaohui Su & Lin Li, 2020. "SEPM: rapid seism emergency information processing based on social media," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 104(1), pages 659-679, October.
    • Handle: RePEc:spr:nathaz:v:104:y:2020:i:1:d:10.1007_s11069-020-04185-4
    DOI: 10.1007/s11069-020-04185-4
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    Cited by:

    1. Xiaohui Su & Shurui Ma & Xiaokang Qiu & Jiabin Shi & Xiaodong Zhang & Feixiang Chen, 2021. "Microblog Topic-Words Detection Model for Earthquake Emergency Responses Based on Information Classification Hierarchy," IJERPH, MDPI, vol. 18(15), pages 1-20, July.

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